Didn’t make it to San Jose for Summit 2016? Catch up on all the latest announcements with full replays of featured keynotes and breakout sessions.
- 5 Admins for 60,000 Users: Creating a High-Clearance Growth Strategy for the Department of Defense
James Hunt, Department of Defense Contractor, Vistronix
- Application Lifecycle Management at Scale
Bonnie Beyer, Project Manager, Rockwell Collins
- Automate Mission Critical Business Workflows With JIRA
Rob Yosowitz, Director PeopleSoft & Enterprise Integrations, Arizona State University
- Deploy to Scale: Data Center in AWS
Ben King, Enterprise Product Advocate, Atlassian
- Driving JIRA Adoption Through Simple Configuration
Dorian Kersch, Scrum Master / JIRA Guru, Intuit
- How Atlassian Scales Bitbucket Data Center on AWS
Chris Szmajda, Development Senior Team Lead, Atlassian
Felix Haehnel, Developer, Atlassian
- Scaling Atlassian - What's New in Data Center
Bryan J. Rollins, Head of Server Business, Atlassian
- Trash Talk! How to Reduce Downtime by Tuning Garbage Collection
Denise Unterwurzacher, Confluence Engineer, Atlassian
- The Big Migration: How Cerner Moved From Confluence 3.5 to 5.8
Todd Stuck, Director - Workforce Enablement Solutions, Cerner Corporation
Kate Lomax, Program Coordinator, Cerner Corporation
- What's New for Atlassian Administrators
Steve King, Product Manager, Atlassian
5 Admins for 60,000 Users: Creating a High-Clearance Growth Strategy for the Department of Defense
In five short years Vistronix, which supports mission critical functions within the Department of Defense, grew their deployment from 0 to 60,000 very active users. Along the way they learned to scale the entire Atlassian stack and administration.
Every time a new team found success with JIRA, Confluence, or Bitbucket, the user base expanded dramatically. Better hardware, and smart configurations were only half the battle. They also needed JIRA Service Desk to help them organize administration requests and scale with only a handful of admins.
Find out how they kept it all running smoothly for such a high security client such as the Department of Defense.
Application Lifecycle Management at Scale
Rockwell Collins is an aerospace engineering organization developing safety critical systems for aircraft flight decks and communications. Our regulatory processes require unique tool solutions for configuration control, traceability, and quality oversight.
Application Lifecycle Management (ALM) is a highly integrated engineering tool platform built upon Atlassian products, vendor plugins, and internally developed plugins like Auto-Issues-Creation, project defined custom fields, quality assurance metrics and many more. We support 7,000+ engineers with common workflows, training, and customer support.
It might be easier for organizations like Rockwell Collins to remain in legacy tools, but the benefits with ALM for collaborative design and development are overwhelming. I will describe the unique needs we have addressed, the challenges we faced, and the benefits our engineering teams are enjoying.
Automate Mission Critical Business Workflows With JIRA
JIRA is now a mission critical application for Arizona State University. In our quest to become the premiere "Connected University", I will demonstrate several different business use cases utilizing JIRA and its technical capabilities. We use it to receive an email, create an issue, initiate an Enterprise Service Bus flow, and then record the outcome of the transaction and, if the outcome is negative, notify an appropriate resource.
You'll learn that JIRA is not necessarily a stand-alone system but can be fully integrated into the menu of enterprise applications and utilized to both receive and invoke business events. This presentation covers the use of Webhooks, JIRA API, and email-to-issue creation.
Deploy to Scale: Data Center in AWS
Deploying Atlassian applications using infrastructure as a service, such as Amazon Web Services, Azure, or Digital Ocean is becoming more appealing to teams around the world.
We'll dive into the frequently asked questions around Atlassian's server and Data Center deployments in AWS. We'll discuss unique considerations for AWS as opposed to bare metal, benefits of deploying in a hosted environment, deploying at scale in AWS, and Atlassian's support policy for infrastructure.
Hear straight from the source how Atlassian's Enterprise team advises its largest customers wishing to reap the benefits of IaaS while maintaining the security and scalability of keeping applications running in-house.
Driving JIRA Adoption Through Simple Configuration
Intuit has evolved! We have deployed a world class Agile program that supports teams moving from 'doing' Agile to 'being' Agile.
We'll share how Intuit drives adoption of JIRA and Agile to thousands of people with simple, flexible, and scalable configuration.
How Atlassian Scales Bitbucket Data Center on AWS
Join a couple DevOps gurus for a deep dive into AWS configuration for Bitbucket Data Center and learn how Atlassian keeps our own developers happy with speedy clone times and better availability. Specifically we'll cover:
- How Smart Mirrors can provide lightning fast Git access for teams all over the globe.
- How to use AWS auto-scaling with Bitbucket Data Center for better performance.
- How to provide continuous availability using an HA cluster in multiple AWS zones.
- How to start using Git large file support (Git LFS) to dramatically reduce clone and build times.
Scaling Atlassian - What's New in Data Center
Data Center provides administrators with control, customization, performance at scale, and instant scalability when hosting Atlassian applications.
Join us to learn about improvements to Data Center's core technology that allow for smoother upgrades, better user management, and expanded deployment options. Improved reliability and uptime are just the tip of the iceberg.
Trash Talk! How to Reduce Downtime by Tuning Garbage Collection
Does your JIRA sometimes freeze? Have you given Confluence more memory in an effort to speed it up? Do you think you've allocated too much or too little memory? Make users and admins happy with speedy and stable Atlassian applications. We'll go in-depth on performance tuning best practices, including the pitfalls to avoid that might make things worse. In this session, you will learn:
- When tuning works, and when it doesn't.
- How Atlassian accidentally tuned itself into more outages before diagnosing the problem and reducing outages.
- Best practices for performance and memory across large high impact instances.
- How different Java garbage collection options differ and impact performance. With the right tuning your applications will have better performance, be more stable, and scale more easily.
The Big Migration: How Cerner Moved From Confluence 3.5 to 5.8
Cerner uses Confluence for just about everything. To support all of these use cases they created loads of custom features and plugins. With a focus on customization, upgrades fell behind. By the time Confluence 5.8 was released they had a lot of work to do to upgrade.
With the help of a Technical Account Manager, and partnering with Comalatech they were able to upgrade with no downtime. This helped them create a disaster recovery instance, which is a key component for controlled documentation. With their upgrade, they added the ability to go through a certified approval process with reporting capability.
Learn how they made the great leap with minimal impact on users.
What's New for Atlassian Administrators
Administration of Atlassian Software is getting easier every day. We've been listening to user feedback and have made big improvements to managing users at scale, simplifying configuration, and improving administrator user experience.